# -*- coding: utf-8 -*-
from datetime import timedelta
from utils.operators.spark_submit import SparkSubmitOperator
from jms.ods.tms.yl_tmsnew_branch_shipment import jms_ods__yl_tmsnew_branch_shipment
from jms.ods.tms.yl_tmsnew_download_effective import jms_ods__yl_tmsnew_download_effective
from jms.ods.oms.yl_oms_oms_waybill import jms_ods__yl_oms_oms_waybill
from jms.ods.oms.yl_oms_interceptorpiece import jms_ods__yl_oms_interceptorpiece
from jms.ods.tab.tab_reback_transfer_express import jms_ods__tab_reback_transfer_express
from jms.ods.tab.tab_end_piece import jms_ods__tab_end_piece
from jms.dim.dim_lmdm_sys_network import jms_dim__dim_lmdm_sys_network
from jms.dm.dm_waybill_trace_dt import jms_dm__dm_waybill_trace_dt

jms_dm__dm_network_entry_port_monitor_detail_dt = SparkSubmitOperator(
    task_id='jms_dm__dm_network_entry_port_monitor_detail_dt',
    email=['yushuo@jtexpress.com','yl_bigdata@yl-scm.com'],
    name='dm_network_entry_port_monitor_detail_dt_{{ execution_date | date_add(1) | cst_ds }}',
    # sla=timedelta(hours=7),
    driver_memory='4G',
    executor_memory='16G',
    executor_cores=4,
    num_executors=10,
    pool_slots=5,
    conf={'spark.dynamicAllocation.enabled'                  : 'true',  # 动态资源开启
          'spark.shuffle.service.enabled'                    : 'true',  # 动态资源 Shuffle 服务开启
          'spark.dynamicAllocation.maxExecutors'             : 100,  # 动态资源最大扩容 Executor 数
          'spark.dynamicAllocation.cachedExecutorIdleTimeout': 120,  # 动态资源自动释放闲置 Executor 的超时时间(s)
          'spark.sql.sources.partitionOverwriteMode'         : 'dynamic',  # 允许删改已存在的分区
          'spark.executor.memoryOverhead'                    : '2G',  # 堆外内存
          'spark.default.parallelism'                        : 600,
          'spark.sql.shuffle.partitions'                     : 600
          },
    jars='hdfs:///scheduler/jms/spark/cy/dm_network_entry_port_monitor_detail_dt/common-1.0-SNAPSHOT.jar',  # 依赖 jar 包
    java_class='com.yunlu.bigdata.jobs.report.NetworkEntryPortMonitorDetail',  # spark 主类
    application='hdfs:///scheduler/jms/spark/cy/dm_network_entry_port_monitor_detail_dt/original-jobs-1.0-SNAPSHOT.jar',  # spark jar 包
    application_args=['{{ execution_date | date_add(1) | cst_ds }}'],
    execution_timeout=timedelta(hours=1),
)

jms_dm__dm_network_entry_port_monitor_detail_dt << [
    jms_ods__yl_tmsnew_branch_shipment,
    jms_ods__yl_tmsnew_download_effective,
    jms_ods__yl_oms_oms_waybill,
    jms_ods__yl_oms_interceptorpiece,
    jms_ods__tab_reback_transfer_express,
    jms_ods__tab_end_piece,
    jms_dim__dim_lmdm_sys_network,
    jms_dm__dm_waybill_trace_dt,
]


